REPOGEO REPORT · LITE

AI-in-Health/MedLLMsPracticalGuide

Default branch main · commit 6dccc0f1 · scanned 6/26/2026, 8:28:55 AM

GitHub: 2,028 stars · 176 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface AI-in-Health/MedLLMsPracticalGuide, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Clarify README's opening statement to explicitly position as a guide/resource, not a tool

Why:

CURRENT

This is an actively updated list of practical guide resources for Medical Large Language Models (Medical LLMs).

COPY-PASTE FIX

This repository provides a comprehensive, actively updated practical guide and curated resources for Medical Large Language Models (MedLLMs). It serves as a definitive reference for researchers and practitioners, distinct from development frameworks or libraries.

mediumtopics#2

Add more specific topics to reinforce its identity as a guide/resource

Why:

CURRENT

ai-in-medicine, clinical-ai, large-language-models, medical-large-language-models, survey

COPY-PASTE FIX

ai-in-medicine, clinical-ai, large-language-models, medical-large-language-models, survey, practical-guide, curated-list, medical-llm-resources

lowreadme#3

Add a concise 'Primary Audience' statement to the README

Why:

COPY-PASTE FIX

**Primary Audience:** This guide is designed for AI developers, researchers, clinicians, and healthcare professionals seeking practical insights and curated resources for applying Large Language Models in medicine.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface AI-in-Health/MedLLMsPracticalGuide

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Transformers Library

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Transformers Library · recommended 1×
NVIDIA NeMo Framework · recommended 1×
Microsoft Azure AI for Health · recommended 1×
Google Cloud Healthcare API · recommended 1×
Vertex AI · recommended 1×

CATEGORY QUERY
Where can I find practical guides and resources for applying large language models in healthcare?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library
2. NVIDIA NeMo Framework
3. Microsoft Azure AI for Health
4. Google Cloud Healthcare API
5. Vertex AI
6. Amazon Comprehend Medical
7. Applied Natural Language Processing in the Enterprise
8. Papers With Code
AI recommended 8 alternatives but never named AI-in-Health/MedLLMsPracticalGuide. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a comprehensive overview of current large language model applications and challenges in clinical settings.
you: not recommended
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of AI-in-Health/MedLLMsPracticalGuide?
pass
AI did not name AI-in-Health/MedLLMsPracticalGuide — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts AI-in-Health/MedLLMsPracticalGuide in production, what risks or prerequisites should they evaluate first?
pass
AI named AI-in-Health/MedLLMsPracticalGuide explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo AI-in-Health/MedLLMsPracticalGuide solve, and who is the primary audience?
pass
AI did not name AI-in-Health/MedLLMsPracticalGuide — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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AI-in-Health/MedLLMsPracticalGuide — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite